{"id":"W2188684461","doi":"10.3389/fmicb.2015.01356","title":"Prevalence and Characterization of Shiga Toxin-Producing and Enteropathogenic Escherichia coli in Shellfish-Harvesting Areas and Their Watersheds","year":2015,"lang":"en","type":"article","venue":"Frontiers in Microbiology","topic":"Escherichia coli research studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"European Regional Development Fund; Agence de l'eau Loire-Bretagne; Interreg; Xunta de Galicia; University of Brighton","keywords":"Intimin; Microbiology; Shellfish; Biology; STX2; Virulence; Shiga toxin; Serotype; Escherichia coli; Bacterial adhesin; Enteropathogenic Escherichia coli; Shiga-like toxin; Gene; Enterobacteriaceae; Aquatic animal; Genetics; Fishery; Fish <Actinopterygii>","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004984606,0.0001427984,0.0002433347,0.00008636936,0.00002715243,0.00001316234,0.00009558189,0.0001194021,6.358976e-7],"category_scores_gemma":[0.0001999732,0.0001263832,0.00001377149,0.00008878321,0.0002918774,0.00001145878,0.0002885621,0.0001101309,1.024302e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001981226,"about_ca_system_score_gemma":0.00004036351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003025762,"about_ca_topic_score_gemma":0.00005853954,"domain_scores_codex":[0.9989142,0.0002015168,0.0002205879,0.0003964234,0.00002389563,0.000243314],"domain_scores_gemma":[0.9996601,0.00001318791,0.00007725441,0.000143914,0.0000489712,0.00005655246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00006819735,0.00001478372,0.3937307,0.00006655023,0.00001481665,0.000001169739,0.0006547156,8.127346e-7,0.6049435,7.909392e-7,0.00002242187,0.0004815],"study_design_scores_gemma":[0.001425354,0.0004920646,0.6426965,0.0001392619,0.00001395126,0.00003749729,0.0007086395,0.0002281202,0.3529809,0.00006023987,0.0009303641,0.0002871083],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994607,0.004581452,0.0003148796,0.00008288369,0.0001226874,0.0002388636,0.0000264569,0.00000401904,0.00002174188],"genre_scores_gemma":[0.996175,0.001966701,0.001582374,0.00006404989,0.00003286399,0.00001938782,0.00004522056,0.00001196064,0.0001024327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2519626,"threshold_uncertainty_score":0.5153758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01118275740793557,"score_gpt":0.2241765500710758,"score_spread":0.2129937926631402,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}